On orthogonal signal correction.
CHEMOMETR INTELL LAB
47 - 52.
A new algorithm for orthogonal signal correction is presented, compared with existing algorithms, and illustrated on an example from near infrared spectroscopy. Given a matrix X of spectral or other high dimensional data and a vector or matrix Y of concentrations or other reference measurements on the same samples, orthogonal signal correction subtracts from X factors that account for as much as possible of the variance in X and are orthogonal to Y. The aim is to improve the performance of a subsequent partial least squares (PLS) regression of Y on X. (C) 2000 Elsevier Science B.V. All rights reserved.
|Title:||On orthogonal signal correction|
|Keywords:||chemometrics, near infrared, spectroscopy, orthogonal signal correction, partial least squares|
|UCL classification:||UCL > School of BEAMS > Faculty of Maths and Physical Sciences
UCL > School of BEAMS > Faculty of Maths and Physical Sciences > Statistical Science
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